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Introducing the Outbreak Threshold in Epidemiology

When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outb...

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Detalles Bibliográficos
Autores principales: Hartfield, Matthew, Alizon, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680036/
https://www.ncbi.nlm.nih.gov/pubmed/23785276
http://dx.doi.org/10.1371/journal.ppat.1003277
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author Hartfield, Matthew
Alizon, Samuel
author_facet Hartfield, Matthew
Alizon, Samuel
author_sort Hartfield, Matthew
collection PubMed
description When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outbreak is almost certain. We introduce such an outbreak threshold (T(0)), and find that for large and homogeneous host populations, in which the pathogen has a reproductive ratio R(0), on the order of 1/Log(R(0)) infected individuals are needed to prevent stochastic fade-out during the early stages of an epidemic. We also show how this threshold scales with higher heterogeneity and R(0) in the host population. These results have implications for controlling emerging and re-emerging pathogens.
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spelling pubmed-36800362013-06-19 Introducing the Outbreak Threshold in Epidemiology Hartfield, Matthew Alizon, Samuel PLoS Pathog Opinion When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outbreak is almost certain. We introduce such an outbreak threshold (T(0)), and find that for large and homogeneous host populations, in which the pathogen has a reproductive ratio R(0), on the order of 1/Log(R(0)) infected individuals are needed to prevent stochastic fade-out during the early stages of an epidemic. We also show how this threshold scales with higher heterogeneity and R(0) in the host population. These results have implications for controlling emerging and re-emerging pathogens. Public Library of Science 2013-06-06 /pmc/articles/PMC3680036/ /pubmed/23785276 http://dx.doi.org/10.1371/journal.ppat.1003277 Text en © 2013 Hartfield and Alizon http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Opinion
Hartfield, Matthew
Alizon, Samuel
Introducing the Outbreak Threshold in Epidemiology
title Introducing the Outbreak Threshold in Epidemiology
title_full Introducing the Outbreak Threshold in Epidemiology
title_fullStr Introducing the Outbreak Threshold in Epidemiology
title_full_unstemmed Introducing the Outbreak Threshold in Epidemiology
title_short Introducing the Outbreak Threshold in Epidemiology
title_sort introducing the outbreak threshold in epidemiology
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680036/
https://www.ncbi.nlm.nih.gov/pubmed/23785276
http://dx.doi.org/10.1371/journal.ppat.1003277
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